Double Processing Information Extraction for User Queries

Abstract

Data extraction (IE) is the task of removing sorted out information from unstructured semi composed machine clear reports. In a huge part of cases this development concerns taking care of human vernacular messages by system for trademark tongue planning. Information extraction has not got as much thought as information retrieval (IR) and is routinely baffled with the later. The task of IR is to look over a get-together of artistic reports, a subset which is pertinent to a particular request, considering essential word chase and possibly extended by the use of a thesaurus. The IR gets ready conventionally and gives back a situated once-over of documents, where the rank contrasts with the relevance score that the structure assigned to the chronicle in light of the request. This paper proposes double handling data extraction technique (DPIE), where backward classification is used with normal pre-processing technique. These are data processing and query processing. This system gives better results when contrasted with existing rules.

Keywords: Information Retrieval, Classification, Tag, Preprocessing, Data Extraction

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